Outputs you can’t trust
Inconsistent results, hallucinations, and missing context. Nobody feels safe rolling the system out to real users.
MINIML / ENTERPRISE AI CONSULTING
Past the pilot. Into production.
Miniml helps enterprise teams build and integrate AI systems that run inside the business — not next to it.
The gap
Most enterprise AI pilots stall after the demo.
They work in controlled tests, then break when they meet messy data, unclear ownership, missing integrations, and real users. The hard part isn’t showing AI can work — it’s getting a system trusted, integrated, and operated by the team that owns it.
AI sitting next to the business
The model works in a sandbox but isn’t connected to the tools, data, and approvals your team actually uses.
No path past the pilot
The prototype proves it could work. Production needs evaluation, governance, and operational ownership the team doesn’t have.
What we do
Strategy through production.
Six capabilities. One delivery model. Each engagement led by senior consultants who design, build, and operate AI systems with your teams.
01
AI Strategy & Roadmapping
Identify where AI creates measurable leverage. Sequence an executive-ready roadmap grounded in your workflows, data, and risk posture.
02
Workflow Automation
Re-engineer high-volume, high-cost processes into reliable AI-assisted workflows with clear ownership, controls, and measurable outcomes.
03
Custom AI Agents
Design and ship purpose-built agents that operate inside your tools, follow your policies, and execute real work end to end.
04
AI Integrations
Connect models, agents, and AI features to the systems of record your teams already depend on — cleanly, securely, and at production quality.
05
Knowledge Systems
Turn scattered documents, data, and tacit expertise into governed, searchable knowledge layers your teams and agents can rely on.
06
Team Enablement
Build internal capability so your leaders, operators, and engineers can extend, evaluate, and operate AI systems on their own.
Pilot to operation
Where pilots stall, systems ship.
Most enterprise AI work stalls between a working prototype and a system the business can actually run. We’re built for the second half.
- A senior team that designs, builds, and operates — not just delivers slides.
- Production scoped from day one: evaluation, observability, governance.
- Integrated into your systems of record — not a chat assistant bolted on the side.
- Built for your team to own and extend on their own.
How we work
A repeatable delivery model — ambition to operating system.
A senior, embedded team takes you from strategic alignment through prototyping, implementation, and ongoing improvement — with clear artifacts at every stage.
01
Discover
Align on goals, constraints, and where AI can compound impact.
02
Map workflows
Trace how real work moves through your tools, teams, and systems.
03
Prioritize
Score opportunities by value, feasibility, and operating fit.
04
Prototype
Build working systems to validate evidence, not slides.
05
Implement
Harden, integrate, and roll out with clear ownership and controls.
06
Operate
Measure, evaluate, and improve against business outcomes.
Outcomes
What teams working with Miniml actually get.
Practical changes to how work happens — not pilots, not demos. Systems your team owns and operators trust.
Reduce manual, repetitive work.
Improve consistency across teams.
Accelerate decisions with better context.
Connect AI to your existing tools.
Scale expertise across the organization.
Built with the platforms your team trusts
Where to start
Three ways to begin — depending on where your AI work is today.
Each starts with a senior consultant, a fixed scope, and a concrete deliverable. No open-ended discovery calls.
Production-Readiness Review
You have an AI pilot or working prototype that needs a path to deployment. We audit it against real production criteria — evaluation, integration, governance, ownership — and deliver a concrete plan to ship.
Book this review →AI Workflow Opportunity Map
You know AI should be doing more in your operation but don’t know where to start. We map your high-value workflows and identify the 3–5 places AI moves the needle — with effort, impact, and risk for each.
Get the map →AI System Reliability Review
You have a copilot, agent, or RAG system in users’ hands that isn’t reliable enough. We evaluate it against real workflow failure modes and recommend the hardening path — guardrails, grounding, evaluation harness, controls.
Book this review →
Team
Build with AI leaders.
We bring together researchers, technologists, and industry experts who turn cutting-edge AI into deployable systems that solve high-value enterprise challenges.
Our team’s experience includes
Insights
See all →
Recent thinking on production AI.
Start the conversation
Ready to move from AI ambition to operating advantage?
Book a 30-minute consultation with a senior partner and we’ll map where AI can compound in your operation — and what the first 90 days could look like.
Book a Consultation →